Market Basket Analysis of Retail Data: Supervised Learning Approach

Supervised Learning-Based Collaborative Filtering Using Market Basket Data for the Cold- Start Problem

The market basket data in the form of a binary user-item matrix or a binary item-user matrix can be modelled as a binary classification problem. The binary logistic regression approach tackles the binary classification problem, where principal components are predictor variables. If users or items are sparse in the training data, the binary classification problem can be considered as a cold-star...

Extending market basket analysis with graph mining techniques: A real case

A common problem for many companies, like retail stores, it is to find sets of products that are sold together. The only source of information available is the history of sales transactional data. Common techniques of market basket analysis fail when processing huge amounts of scattered data, finding meaningless relationships. We developed a novel approach for market basket analysis based on gr...

Retail Market Basket Analysis: A Quantitative Modelling Approach

Re-mining item associations: Methodology and a case study in apparel retailing

Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analysis in earlier studies. This paper proposes a new approach to mine price, time and domain related attribut...

A Dynamic Analysis of Market Efficiency on Benchmark Crude oil markets: Based on the Adaptive Market Hypothesis

This paper examines the applicability of the adaptive market hypothesis (AMH) as an evolutionary alternative to the efficient market hypothesis (EMH) by studying daily returns on the three benchmark crude oils. The data coverage of daily returns is from January 2th 2003 to March 5th 2018. In this paper, two different tests in the form of two distinguished classes (linear and nonlinear) have bee...